Pandas Profiling Report for the used features from the UCI dataset

Dataset statistics

Number of variables	45
Number of observations	899
Missing cells	11432
Missing cells (%)	28.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	368.1 KiB
Average record size in memory	419.3 B

Variable types

Numeric	20
Categorical	25

Alerts

`age` is highly correlated with `years` and 2 other fields	High correlation
`painloc` is highly correlated with `cp` and 1 other fields	High correlation
`painexer` is highly correlated with `relrest` and 3 other fields	High correlation
`relrest` is highly correlated with `painexer` and 2 other fields	High correlation
`cp` is highly correlated with `painloc` and 4 other fields	High correlation
`trestbps` is highly correlated with `trestbpd`	High correlation
`chol` is highly correlated with `met` and 3 other fields	High correlation
`smoke` is highly correlated with `cigs` and 1 other fields	High correlation
`cigs` is highly correlated with `smoke` and 4 other fields	High correlation
`years` is highly correlated with `age` and 2 other fields	High correlation
`fbs` is highly correlated with `exerwm`	High correlation
`famhist` is highly correlated with `exeref`	High correlation
`prop` is highly correlated with `restef`	High correlation
`nitr` is highly correlated with `pro` and 1 other fields	High correlation
`pro` is highly correlated with `nitr` and 1 other fields	High correlation
`proto` is highly correlated with `restecg` and 5 other fields	High correlation
`thaldur` is highly correlated with `proto` and 4 other fields	High correlation
`thaltime` is highly correlated with `proto` and 4 other fields	High correlation
`met` is highly correlated with `chol` and 2 other fields	High correlation
`thalach` is highly correlated with `thaldur` and 4 other fields	High correlation
`thalrest` is highly correlated with `thalach` and 1 other fields	High correlation
`tpeakbps` is highly correlated with `xhypo`	High correlation
`tpeakbpd` is highly correlated with `restef`	High correlation
`trestbpd` is highly correlated with `trestbps` and 2 other fields	High correlation
`exang` is highly correlated with `painexer` and 5 other fields	High correlation
`oldpeak` is highly correlated with `thaltime` and 2 other fields	High correlation
`slope` is highly correlated with `exang` and 1 other fields	High correlation
`rldv5` is highly correlated with `rldv5e` and 1 other fields	High correlation
`rldv5e` is highly correlated with `restecg` and 2 other fields	High correlation
`ca` is highly correlated with `painloc` and 2 other fields	High correlation
`restef` is highly correlated with `painexer` and 11 other fields	High correlation
`restwm` is highly correlated with `dig` and 3 other fields	High correlation
`exeref` is highly correlated with `age` and 20 other fields	High correlation
`exerwm` is highly correlated with `age` and 7 other fields	High correlation
`num` is highly correlated with `oldpeak` and 2 other fields	High correlation
`cathef` is highly correlated with `chol` and 4 other fields	High correlation
`dm` is highly correlated with `age`	High correlation
`restecg` is highly correlated with `proto` and 1 other fields	High correlation
`dig` is highly correlated with `restef` and 1 other fields	High correlation
`xhypo` is highly correlated with `tpeakbps`	High correlation
`thal` is highly correlated with `restef`	High correlation
`dataset` is highly correlated with `chol` and 7 other fields	High correlation
`painloc` has 282 (31.4%) missing values	Missing
`painexer` has 282 (31.4%) missing values	Missing
`relrest` has 286 (31.8%) missing values	Missing
`trestbps` has 59 (6.6%) missing values	Missing
`htn` has 34 (3.8%) missing values	Missing
`chol` has 30 (3.3%) missing values	Missing
`smoke` has 669 (74.4%) missing values	Missing
`cigs` has 420 (46.7%) missing values	Missing
`years` has 432 (48.1%) missing values	Missing
`fbs` has 90 (10.0%) missing values	Missing
`dm` has 804 (89.4%) missing values	Missing
`famhist` has 422 (46.9%) missing values	Missing
`dig` has 68 (7.6%) missing values	Missing
`prop` has 66 (7.3%) missing values	Missing
`nitr` has 65 (7.2%) missing values	Missing
`pro` has 63 (7.0%) missing values	Missing
`diuretic` has 82 (9.1%) missing values	Missing
`proto` has 112 (12.5%) missing values	Missing
`thaldur` has 56 (6.2%) missing values	Missing
`thaltime` has 453 (50.4%) missing values	Missing
`met` has 105 (11.7%) missing values	Missing
`thalach` has 55 (6.1%) missing values	Missing
`thalrest` has 56 (6.2%) missing values	Missing
`tpeakbps` has 63 (7.0%) missing values	Missing
`tpeakbpd` has 63 (7.0%) missing values	Missing
`trestbpd` has 59 (6.6%) missing values	Missing
`exang` has 55 (6.1%) missing values	Missing
`xhypo` has 58 (6.5%) missing values	Missing
`oldpeak` has 62 (6.9%) missing values	Missing
`slope` has 308 (34.3%) missing values	Missing
`rldv5` has 425 (47.3%) missing values	Missing
`rldv5e` has 142 (15.8%) missing values	Missing
`ca` has 608 (67.6%) missing values	Missing
`restef` has 871 (96.9%) missing values	Missing
`restwm` has 869 (96.7%) missing values	Missing
`exeref` has 897 (99.8%) missing values	Missing
`exerwm` has 894 (99.4%) missing values	Missing
`thal` has 477 (53.1%) missing values	Missing
`cathef` has 588 (65.4%) missing values	Missing
`exeref` is uniformly distributed	Uniform
`chol` has 172 (19.1%) zeros	Zeros
`cigs` has 153 (17.0%) zeros	Zeros
`years` has 153 (17.0%) zeros	Zeros
`thaltime` has 70 (7.8%) zeros	Zeros
`oldpeak` has 362 (40.3%) zeros	Zeros

Reproduction

Analysis started	2022-11-22 07:28:25.356481
Analysis finished	2022-11-22 07:28:55.774264
Duration	30.42 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	50
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.48053393

Minimum	28
Maximum	77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	28
5-th percentile	37
Q1	47
median	54
Q3	60
95-th percentile	68
Maximum	77
Range	49
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.435893735
Coefficient of variation (CV)	0.1764360421
Kurtosis	-0.3806810233
Mean	53.48053393
Median Absolute Deviation (MAD)	7
Skewness	-0.1831893834
Sum	48079
Variance	89.03609058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
54	51	5.7%
58	40	4.4%
55	39	4.3%
52	36	4.0%
56	36	4.0%
57	35	3.9%
62	35	3.9%
51	35	3.9%
59	34	3.8%
53	33	3.7%
Other values (40)	525	58.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28	1	0.1%
29	3	0.3%
30	1	0.1%
31	2	0.2%
32	5	0.6%
33	2	0.2%
34	7	0.8%
35	10	1.1%
36	6	0.7%
37	11	1.2%

Value	Count	Frequency (%)
77	2	0.2%
76	2	0.2%
75	3	0.3%
74	7	0.8%
73	1	0.1%
72	4	0.4%
71	5	0.6%
70	7	0.8%
69	13	1.4%
68	9	1.0%

sex
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	51.0 KiB

1	711
0	188

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	899
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

Most occurring characters

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	899	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	899	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	899	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	711	79.1%
0	188	20.9%

painloc
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	282
Missing (%)	31.4%
Memory size	47.3 KiB

1.0	568
0.0	49

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1851
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	568	63.2%
0.0	49	5.5%
(Missing)	282	31.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	568	92.1%
0.0	49	7.9%

Most occurring characters

Value	Count	Frequency (%)
0	666	36.0%
.	617	33.3%
1	568	30.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1234	66.7%
Other Punctuation	617	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	666	54.0%
1	568	46.0%

Other Punctuation

Value	Count	Frequency (%)
.	617	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1851	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	666	36.0%
.	617	33.3%
1	568	30.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	666	36.0%
.	617	33.3%
1	568	30.7%

painexer
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	282
Missing (%)	31.4%
Memory size	47.3 KiB

1.0	366
0.0	251

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1851
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	366	40.7%
0.0	251	27.9%
(Missing)	282	31.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	366	59.3%
0.0	251	40.7%

Most occurring characters

Value	Count	Frequency (%)
0	868	46.9%
.	617	33.3%
1	366	19.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1234	66.7%
Other Punctuation	617	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	868	70.3%
1	366	29.7%

Other Punctuation

Value	Count	Frequency (%)
.	617	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1851	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	868	46.9%
.	617	33.3%
1	366	19.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	868	46.9%
.	617	33.3%
1	366	19.8%

relrest
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.3%
Missing	286
Missing (%)	31.8%
Memory size	47.2 KiB

1.0	412
0.0	201

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1839
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	412	45.8%
0.0	201	22.4%
(Missing)	286	31.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	412	67.2%
0.0	201	32.8%

Most occurring characters

Value	Count	Frequency (%)
0	814	44.3%
.	613	33.3%
1	412	22.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1226	66.7%
Other Punctuation	613	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	814	66.4%
1	412	33.6%

Other Punctuation

Value	Count	Frequency (%)
.	613	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1839	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	814	44.3%
.	613	33.3%
1	412	22.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1839	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	814	44.3%
.	613	33.3%
1	412	22.4%

cp
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	51.0 KiB

4	485
3	202
2	167
1	45

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	899
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	2
4th row	4
5th row	3

Common Values

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

Most occurring characters

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	899	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	899	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	899	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	485	53.9%
3	202	22.5%
2	167	18.6%
1	45	5.0%

trestbps
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	60
Distinct (%)	7.1%
Missing	59
Missing (%)	6.6%
Infinite	0
Infinite (%)	0.0%
Mean	132.1011905

Minimum	0
Maximum	200
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	105
Q1	120
median	130
Q3	140
95-th percentile	160
Maximum	200
Range	200
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	19.15112717
Coefficient of variation (CV)	0.1449731611
Kurtosis	2.968612092
Mean	132.1011905
Median Absolute Deviation (MAD)	10
Skewness	0.2075650027
Sum	110965
Variance	366.765672
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	128	14.2%
130	112	12.5%
140	100	11.1%
110	58	6.5%
150	56	6.2%
160	50	5.6%
125	28	3.1%
115	19	2.1%
135	18	2.0%
128	16	1.8%
Other values (50)	255	28.4%
(Missing)	59	6.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
80	1	0.1%
92	1	0.1%
94	2	0.2%
95	6	0.7%
96	1	0.1%
98	1	0.1%
100	15	1.7%
101	1	0.1%
102	3	0.3%

Value	Count	Frequency (%)
200	4	0.4%
192	1	0.1%
190	2	0.2%
185	1	0.1%
180	12	1.3%
178	3	0.3%
174	1	0.1%
172	2	0.2%
170	13	1.4%
165	2	0.2%

htn
Categorical

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	34
Missing (%)	3.8%
Memory size	52.1 KiB

0.0	453
1.0	412

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2595
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	453	50.4%
1.0	412	45.8%
(Missing)	34	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	453	52.4%
1.0	412	47.6%

Most occurring characters

Value	Count	Frequency (%)
0	1318	50.8%
.	865	33.3%
1	412	15.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1730	66.7%
Other Punctuation	865	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1318	76.2%
1	412	23.8%

Other Punctuation

Value	Count	Frequency (%)
.	865	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2595	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1318	50.8%
.	865	33.3%
1	412	15.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2595	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1318	50.8%
.	865	33.3%
1	412	15.9%

chol
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	213
Distinct (%)	24.5%
Missing	30
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	198.7594937

Minimum	0
Maximum	603
Zeros	172
Zeros (%)	19.1%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	175
median	224
Q3	269
95-th percentile	334.2
Maximum	603
Range	603
Interquartile range (IQR)	94

Descriptive statistics

Standard deviation	111.8344148
Coefficient of variation (CV)	0.5626620028
Kurtosis	0.00684770048
Mean	198.7594937
Median Absolute Deviation (MAD)	46
Skewness	-0.6049884266
Sum	172722
Variance	12506.93633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	172	19.1%
254	10	1.1%
204	9	1.0%
219	9	1.0%
230	9	1.0%
216	9	1.0%
223	9	1.0%
220	9	1.0%
211	9	1.0%
260	8	0.9%
Other values (203)	616	68.5%
(Missing)	30	3.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	172	19.1%
85	1	0.1%
100	2	0.2%
117	1	0.1%
126	1	0.1%
129	1	0.1%
132	1	0.1%
139	1	0.1%
141	1	0.1%
142	1	0.1%

Value	Count	Frequency (%)
603	1	0.1%
564	1	0.1%
529	1	0.1%
518	1	0.1%
491	1	0.1%
468	1	0.1%
466	1	0.1%
458	1	0.1%
417	1	0.1%
412	1	0.1%

smoke
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.9%
Missing	669
Missing (%)	74.4%
Memory size	39.7 KiB

1.0	119
0.0	111

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	690
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	119	13.2%
0.0	111	12.3%
(Missing)	669	74.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	119	51.7%
0.0	111	48.3%

Most occurring characters

Value	Count	Frequency (%)
0	341	49.4%
.	230	33.3%
1	119	17.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	460	66.7%
Other Punctuation	230	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	341	74.1%
1	119	25.9%

Other Punctuation

Value	Count	Frequency (%)
.	230	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	341	49.4%
.	230	33.3%
1	119	17.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	341	49.4%
.	230	33.3%
1	119	17.2%

cigs
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	25
Distinct (%)	5.2%
Missing	420
Missing (%)	46.7%
Infinite	0
Infinite (%)	0.0%
Mean	19.11899791

Minimum	0
Maximum	99
Zeros	153
Zeros (%)	17.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	20
Q3	30
95-th percentile	51
Maximum	99
Range	99
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	18.29627263
Coefficient of variation (CV)	0.9569681799
Kurtosis	0.6835763697
Mean	19.11899791
Median Absolute Deviation (MAD)	20
Skewness	0.8929868778
Sum	9158
Variance	334.7535923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
0	153	17.0%
20	136	15.1%
40	63	7.0%
30	35	3.9%
10	21	2.3%
60	17	1.9%
50	12	1.3%
15	9	1.0%
2	6	0.7%
25	6	0.7%
Other values (15)	21	2.3%
(Missing)	420	46.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	153	17.0%
1	1	0.1%
2	6	0.7%
3	2	0.2%
4	2	0.2%
5	2	0.2%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	21	2.3%

Value	Count	Frequency (%)
99	1	0.1%
80	3	0.3%
75	1	0.1%
70	1	0.1%
65	1	0.1%
60	17	1.9%
50	12	1.3%
45	1	0.1%
40	63	7.0%
35	2	0.2%

years
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	42
Distinct (%)	9.0%
Missing	432
Missing (%)	48.1%
Infinite	0
Infinite (%)	0.0%
Mean	18.79657388

Minimum	0
Maximum	60
Zeros	153
Zeros (%)	17.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	20
Q3	30
95-th percentile	45
Maximum	60
Range	60
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	16.35914482
Coefficient of variation (CV)	0.8703258862
Kurtosis	-1.258896079
Mean	18.79657388
Median Absolute Deviation (MAD)	19
Skewness	0.1945329269
Sum	8778
Variance	267.6216191
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	153	17.0%
30	58	6.5%
20	53	5.9%
40	51	5.7%
25	26	2.9%
35	17	1.9%
15	15	1.7%
50	13	1.4%
10	9	1.0%
5	6	0.7%
Other values (32)	66	7.3%
(Missing)	432	48.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	153	17.0%
1	3	0.3%
2	1	0.1%
3	2	0.2%
4	3	0.3%
5	6	0.7%
6	3	0.3%
7	3	0.3%
8	2	0.2%
10	9	1.0%

Value	Count	Frequency (%)
60	1	0.1%
54	2	0.2%
50	13	1.4%
48	1	0.1%
47	3	0.3%
45	6	0.7%
42	1	0.1%
41	2	0.2%
40	51	5.7%
38	2	0.2%

fbs
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	90
Missing (%)	10.0%
Memory size	51.0 KiB

0.0	674
1.0	135

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2427
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	674	75.0%
1.0	135	15.0%
(Missing)	90	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	674	83.3%
1.0	135	16.7%

Most occurring characters

Value	Count	Frequency (%)
0	1483	61.1%
.	809	33.3%
1	135	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1618	66.7%
Other Punctuation	809	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1483	91.7%
1	135	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	809	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2427	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1483	61.1%
.	809	33.3%
1	135	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2427	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1483	61.1%
.	809	33.3%
1	135	5.6%

dm
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.1%
Missing	804
Missing (%)	89.4%
Memory size	37.1 KiB

1.0	91
0.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	285
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	91	10.1%
0.0	4	0.4%
(Missing)	804	89.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	91	95.8%
0.0	4	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	99	34.7%
.	95	33.3%
1	91	31.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	190	66.7%
Other Punctuation	95	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	99	52.1%
1	91	47.9%

Other Punctuation

Value	Count	Frequency (%)
.	95	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	285	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	99	34.7%
.	95	33.3%
1	91	31.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	285	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	99	34.7%
.	95	33.3%
1	91	31.9%

famhist
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.4%
Missing	422
Missing (%)	46.9%
Memory size	44.6 KiB

1.0	269
0.0	208

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1431
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	269	29.9%
0.0	208	23.1%
(Missing)	422	46.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	269	56.4%
0.0	208	43.6%

Most occurring characters

Value	Count	Frequency (%)
0	685	47.9%
.	477	33.3%
1	269	18.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	954	66.7%
Other Punctuation	477	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	685	71.8%
1	269	28.2%

Other Punctuation

Value	Count	Frequency (%)
.	477	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1431	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	685	47.9%
.	477	33.3%
1	269	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1431	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	685	47.9%
.	477	33.3%
1	269	18.8%

restecg
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	2
Missing (%)	0.2%
Memory size	52.8 KiB

0.0	538
2.0	182
1.0	177

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2691
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	538	59.8%
2.0	182	20.2%
1.0	177	19.7%
(Missing)	2	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	538	60.0%
2.0	182	20.3%
1.0	177	19.7%

Most occurring characters

Value	Count	Frequency (%)
0	1435	53.3%
.	897	33.3%
2	182	6.8%
1	177	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1794	66.7%
Other Punctuation	897	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1435	80.0%
2	182	10.1%
1	177	9.9%

Other Punctuation

Value	Count	Frequency (%)
.	897	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2691	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1435	53.3%
.	897	33.3%
2	182	6.8%
1	177	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1435	53.3%
.	897	33.3%
2	182	6.8%
1	177	6.6%

dig
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	68
Missing (%)	7.6%
Memory size	51.5 KiB

0.0	802
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2493
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	802	89.2%
1.0	29	3.2%
(Missing)	68	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	802	96.5%
1.0	29	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	1633	65.5%
.	831	33.3%
1	29	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1662	66.7%
Other Punctuation	831	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1633	98.3%
1	29	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	831	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2493	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1633	65.5%
.	831	33.3%
1	29	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2493	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1633	65.5%
.	831	33.3%
1	29	1.2%

prop
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.4%
Missing	66
Missing (%)	7.3%
Memory size	51.5 KiB

0.0	618
1.0	214
22.0	1

Length

Max length	4
Median length	3
Mean length	3.00120048
Min length	3

Characters and Unicode

Total characters	2500
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	618	68.7%
1.0	214	23.8%
22.0	1	0.1%
(Missing)	66	7.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	618	74.2%
1.0	214	25.7%
22.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1451	58.0%
.	833	33.3%
1	214	8.6%
2	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1667	66.7%
Other Punctuation	833	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1451	87.0%
1	214	12.8%
2	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	833	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1451	58.0%
.	833	33.3%
1	214	8.6%
2	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1451	58.0%
.	833	33.3%
1	214	8.6%
2	2	0.1%

nitr
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	65
Missing (%)	7.2%
Memory size	51.5 KiB

0.0	612
1.0	222

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2502
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	612	68.1%
1.0	222	24.7%
(Missing)	65	7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	612	73.4%
1.0	222	26.6%

Most occurring characters

Value	Count	Frequency (%)
0	1446	57.8%
.	834	33.3%
1	222	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1668	66.7%
Other Punctuation	834	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1446	86.7%
1	222	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	834	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2502	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1446	57.8%
.	834	33.3%
1	222	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2502	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1446	57.8%
.	834	33.3%
1	222	8.9%

pro
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	63
Missing (%)	7.0%
Memory size	51.6 KiB

0.0	692
1.0	144

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2508
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	692	77.0%
1.0	144	16.0%
(Missing)	63	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	692	82.8%
1.0	144	17.2%

Most occurring characters

Value	Count	Frequency (%)
0	1528	60.9%
.	836	33.3%
1	144	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1672	66.7%
Other Punctuation	836	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1528	91.4%
1	144	8.6%

Other Punctuation

Value	Count	Frequency (%)
.	836	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2508	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1528	60.9%
.	836	33.3%
1	144	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2508	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1528	60.9%
.	836	33.3%
1	144	5.7%

diuretic
Categorical

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	82
Missing (%)	9.1%
Memory size	51.2 KiB

0.0	725
1.0	92

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2451
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	725	80.6%
1.0	92	10.2%
(Missing)	82	9.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	725	88.7%
1.0	92	11.3%

Most occurring characters

Value	Count	Frequency (%)
0	1542	62.9%
.	817	33.3%
1	92	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1634	66.7%
Other Punctuation	817	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1542	94.4%
1	92	5.6%

Other Punctuation

Value	Count	Frequency (%)
.	817	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2451	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1542	62.9%
.	817	33.3%
1	92	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2451	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1542	62.9%
.	817	33.3%
1	92	3.8%

proto
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	1.8%
Missing	112
Missing (%)	12.5%
Infinite	0
Infinite (%)	0.0%
Mean	37.08132147

Minimum	1
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	5
Q3	75
95-th percentile	128.5
Maximum	200
Range	199
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	50.14455942
Coefficient of variation (CV)	1.352286203
Kurtosis	0.01681618191
Mean	37.08132147
Median Absolute Deviation (MAD)	4
Skewness	1.152180448
Sum	29183
Variance	2514.476839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	324	36.0%
5	98	10.9%
75	73	8.1%
12	73	8.1%
100	70	7.8%
125	52	5.8%
50	34	3.8%
150	25	2.8%
25	16	1.8%
175	12	1.3%
Other values (4)	10	1.1%
(Missing)	112	12.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	324	36.0%
4	2	0.2%
5	98	10.9%
6	5	0.6%
12	73	8.1%
25	16	1.8%
50	34	3.8%
75	73	8.1%
100	70	7.8%
125	52	5.8%

Value	Count	Frequency (%)
200	2	0.2%
175	12	1.3%
150	25	2.8%
130	1	0.1%
125	52	5.8%
100	70	7.8%
75	73	8.1%
50	34	3.8%
25	16	1.8%
12	73	8.1%

thaldur
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	86
Distinct (%)	10.2%
Missing	56
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%
Mean	8.655871886

Minimum	1
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3.1
Q1	6
median	8.1
Q3	10.5
95-th percentile	16
Maximum	24
Range	23
Interquartile range (IQR)	4.5

Descriptive statistics

Standard deviation	3.746617387
Coefficient of variation (CV)	0.4328411322
Kurtosis	0.8753847945
Mean	8.655871886
Median Absolute Deviation (MAD)	2.1
Skewness	0.8045143204
Sum	7296.9
Variance	14.03714185
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	93	10.3%
7	65	7.2%
6	60	6.7%
10	51	5.7%
8	49	5.5%
11	45	5.0%
12	45	5.0%
4	39	4.3%
5	35	3.9%
13	32	3.6%
Other values (76)	329	36.6%
(Missing)	56	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
1.5	4	0.4%
1.7	1	0.1%
1.8	1	0.1%
2	11	1.2%
2.3	1	0.1%
2.5	1	0.1%
3	22	2.4%
3.1	2	0.2%
3.2	1	0.1%

Value	Count	Frequency (%)
24	1	0.1%
21	1	0.1%
20	6	0.7%
19	12	1.3%
18	15	1.7%
17	5	0.6%
16.5	1	0.1%
16	6	0.7%
15	11	1.2%
14.4	1	0.1%

thaltime
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	64
Distinct (%)	14.3%
Missing	453
Missing (%)	50.4%
Infinite	0
Infinite (%)	0.0%
Mean	5.690358744

Minimum	0
Maximum	20
Zeros	70
Zeros (%)	7.8%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	8
95-th percentile	12
Maximum	20
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.99467301
Coefficient of variation (CV)	0.7020072353
Kurtosis	0.1721897174
Mean	5.690358744
Median Absolute Deviation (MAD)	3
Skewness	0.5072290638
Sum	2537.9
Variance	15.95741246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	70	7.8%
6	65	7.2%
3	57	6.3%
9	28	3.1%
8	20	2.2%
10	19	2.1%
4	17	1.9%
12	17	1.9%
5	16	1.8%
7.5	11	1.2%
Other values (54)	126	14.0%
(Missing)	453	50.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	70	7.8%
0.5	1	0.1%
0.7	1	0.1%
1	5	0.6%
1.5	3	0.3%
2	7	0.8%
2.5	2	0.2%
3	57	6.3%
3.5	5	0.6%
3.6	2	0.2%

Value	Count	Frequency (%)
20	1	0.1%
19	2	0.2%
17.8	1	0.1%
17.5	1	0.1%
15.8	1	0.1%
15	3	0.3%
14.5	1	0.1%
14.3	1	0.1%
14	2	0.2%
13.5	1	0.1%

met
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	4.3%
Missing	105
Missing (%)	11.7%
Infinite	0
Infinite (%)	0.0%
Mean	16.48312343

Minimum	2
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	5
median	7
Q3	10
95-th percentile	100
Maximum	200
Range	198
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	30.77280112
Coefficient of variation (CV)	1.866927786
Kurtosis	10.72913546
Mean	16.48312343
Median Absolute Deviation (MAD)	2
Skewness	3.378510563
Sum	13087.6
Variance	946.9652886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
7	107	11.9%
5	106	11.8%
6	102	11.3%
9	71	7.9%
10	58	6.5%
4	54	6.0%
8	52	5.8%
3	31	3.4%
100	31	3.4%
13	27	3.0%
Other values (24)	155	17.2%
(Missing)	105	11.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	22	2.4%
2.5	1	0.1%
3	31	3.4%
3.5	1	0.1%
4	54	6.0%
4.5	1	0.1%
5	106	11.8%
5.4	1	0.1%
5.8	1	0.1%
6	102	11.3%

Value	Count	Frequency (%)
200	1	0.1%
150	21	2.3%
125	2	0.2%
100	31	3.4%
75	7	0.8%
50	11	1.2%
18	2	0.2%
17	2	0.2%
16	7	0.8%
15	3	0.3%

thalach
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	119
Distinct (%)	14.1%
Missing	55
Missing (%)	6.1%
Infinite	0
Infinite (%)	0.0%
Mean	137.2985782

Minimum	60
Maximum	202
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	60
5-th percentile	95
Q1	120
median	140
Q3	157
95-th percentile	178
Maximum	202
Range	142
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	25.96595906
Coefficient of variation (CV)	0.1891203784
Kurtosis	-0.4847315481
Mean	137.2985782
Median Absolute Deviation (MAD)	20
Skewness	-0.1999350826
Sum	115880
Variance	674.23103
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	42	4.7%
140	40	4.4%
120	35	3.9%
130	29	3.2%
160	26	2.9%
110	21	2.3%
125	20	2.2%
170	20	2.2%
122	16	1.8%
100	14	1.6%
Other values (109)	581	64.6%
(Missing)	55	6.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	1	0.1%
63	1	0.1%
67	1	0.1%
69	1	0.1%
70	1	0.1%
71	1	0.1%
72	2	0.2%
73	1	0.1%
77	1	0.1%
78	1	0.1%

Value	Count	Frequency (%)
202	1	0.1%
195	1	0.1%
194	1	0.1%
192	1	0.1%
190	2	0.2%
188	2	0.2%
187	1	0.1%
186	2	0.2%
185	4	0.4%
184	4	0.4%

thalrest
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	75
Distinct (%)	8.9%
Missing	56
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%
Mean	75.48754448

Minimum	37
Maximum	139
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	37
5-th percentile	55
Q1	65
median	74
Q3	84
95-th percentile	100
Maximum	139
Range	102
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.72796148
Coefficient of variation (CV)	0.1951045246
Kurtosis	0.7390791357
Mean	75.48754448
Median Absolute Deviation (MAD)	10
Skewness	0.6366775286
Sum	63636
Variance	216.9128494
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	41	4.6%
74	33	3.7%
80	30	3.3%
68	30	3.3%
75	27	3.0%
72	26	2.9%
64	26	2.9%
73	25	2.8%
84	25	2.8%
78	24	2.7%
Other values (65)	556	61.8%
(Missing)	56	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37	1	0.1%
39	1	0.1%
40	1	0.1%
43	1	0.1%
44	1	0.1%
46	2	0.2%
47	1	0.1%
49	4	0.4%
50	4	0.4%
51	1	0.1%

Value	Count	Frequency (%)
139	1	0.1%
134	1	0.1%
125	3	0.3%
124	1	0.1%
120	3	0.3%
119	1	0.1%
116	1	0.1%
115	2	0.2%
112	2	0.2%
110	6	0.7%

tpeakbps
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	74
Distinct (%)	8.9%
Missing	63
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	171.6411483

Minimum	84
Maximum	240
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	84
5-th percentile	130
Q1	155
median	170
Q3	190
95-th percentile	220
Maximum	240
Range	156
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	25.73448825
Coefficient of variation (CV)	0.1499319278
Kurtosis	0.1626878493
Mean	171.6411483
Median Absolute Deviation (MAD)	18
Skewness	0.04005466243
Sum	143492
Variance	662.2638856
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
180	97	10.8%
160	95	10.6%
170	81	9.0%
190	66	7.3%
200	58	6.5%
150	47	5.2%
140	40	4.4%
220	24	2.7%
210	21	2.3%
130	18	2.0%
Other values (64)	289	32.1%
(Missing)	63	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
84	1	0.1%
90	1	0.1%
92	1	0.1%
98	2	0.2%
100	1	0.1%
110	4	0.4%
112	1	0.1%
115	1	0.1%
116	1	0.1%
120	9	1.0%

Value	Count	Frequency (%)
240	5	0.6%
235	1	0.1%
232	1	0.1%
230	14	1.6%
228	1	0.1%
224	1	0.1%
220	24	2.7%
216	1	0.1%
215	5	0.6%
210	21	2.3%

tpeakbpd
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	51
Distinct (%)	6.1%
Missing	63
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.2930622

Minimum	11
Maximum	134
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	11
5-th percentile	65
Q1	80
median	88
Q3	100
95-th percentile	110
Maximum	134
Range	123
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.73458597
Coefficient of variation (CV)	0.1687944677
Kurtosis	0.924026069
Mean	87.2930622
Median Absolute Deviation (MAD)	10
Skewness	-0.1306504115
Sum	72977
Variance	217.1080237
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	162	18.0%
90	131	14.6%
100	114	12.7%
70	59	6.6%
110	43	4.8%
95	28	3.1%
85	25	2.8%
60	23	2.6%
75	23	2.6%
78	22	2.4%
Other values (41)	206	22.9%
(Missing)	63	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	0.1%
26	1	0.1%
40	2	0.2%
45	1	0.1%
50	2	0.2%
55	1	0.1%
56	2	0.2%
58	3	0.3%
60	23	2.6%
62	3	0.3%

Value	Count	Frequency (%)
134	1	0.1%
130	2	0.2%
120	15	1.7%
118	4	0.4%
116	2	0.2%
115	8	0.9%
114	2	0.2%
112	1	0.1%
110	43	4.8%
108	2	0.2%

trestbpd
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	4.0%
Missing	59
Missing (%)	6.6%
Infinite	0
Infinite (%)	0.0%
Mean	83.52380952

Minimum	0
Maximum	120
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0
5-th percentile	70
Q1	80
median	80
Q3	90
95-th percentile	100
Maximum	120
Range	120
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	10.25256291
Coefficient of variation (CV)	0.1227501831
Kurtosis	4.985306216
Mean	83.52380952
Median Absolute Deviation (MAD)	8
Skewness	-0.5407270172
Sum	70160
Variance	105.1150463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
80	258	28.7%
90	158	17.6%
70	88	9.8%
100	64	7.1%
85	42	4.7%
78	24	2.7%
95	23	2.6%
75	21	2.3%
82	15	1.7%
88	14	1.6%
Other values (24)	133	14.8%
(Missing)	59	6.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
50	2	0.2%
58	1	0.1%
60	12	1.3%
64	4	0.4%
65	6	0.7%
66	1	0.1%
68	4	0.4%
70	88	9.8%
72	8	0.9%

Value	Count	Frequency (%)
120	1	0.1%
110	7	0.8%
106	2	0.2%
105	5	0.6%
104	1	0.1%
102	1	0.1%
100	64	7.1%
98	12	1.3%
96	7	0.8%
95	23	2.6%

exang
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	55
Missing (%)	6.1%
Memory size	51.7 KiB

0.0	514
1.0	330

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2532
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	514	57.2%
1.0	330	36.7%
(Missing)	55	6.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	514	60.9%
1.0	330	39.1%

Most occurring characters

Value	Count	Frequency (%)
0	1358	53.6%
.	844	33.3%
1	330	13.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1688	66.7%
Other Punctuation	844	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1358	80.5%
1	330	19.5%

Other Punctuation

Value	Count	Frequency (%)
.	844	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2532	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1358	53.6%
.	844	33.3%
1	330	13.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2532	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1358	53.6%
.	844	33.3%
1	330	13.0%

xhypo
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	58
Missing (%)	6.5%
Memory size	51.7 KiB

0.0	819
1.0	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2523
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	819	91.1%
1.0	22	2.4%
(Missing)	58	6.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	819	97.4%
1.0	22	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	1660	65.8%
.	841	33.3%
1	22	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1682	66.7%
Other Punctuation	841	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1660	98.7%
1	22	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	841	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2523	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1660	65.8%
.	841	33.3%
1	22	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1660	65.8%
.	841	33.3%
1	22	0.9%

oldpeak
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	52
Distinct (%)	6.2%
Missing	62
Missing (%)	6.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.8704898447

Minimum	-2.6
Maximum	6.2
Zeros	362
Zeros (%)	40.3%
Negative	12
Negative (%)	1.3%
Memory size	7.1 KiB

Quantile statistics

Minimum	-2.6
5-th percentile	0
Q1	0
median	0.5
Q3	1.5
95-th percentile	3
Maximum	6.2
Range	8.8
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	1.080548494
Coefficient of variation (CV)	1.241310855
Kurtosis	1.147635071
Mean	0.8704898447
Median Absolute Deviation (MAD)	0.5
Skewness	1.027733086
Sum	728.6
Variance	1.167585047
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	362	40.3%
1	82	9.1%
2	75	8.3%
1.5	48	5.3%
3	28	3.1%
0.5	19	2.1%
2.5	16	1.8%
1.4	15	1.7%
0.6	14	1.6%
0.8	14	1.6%
Other values (42)	164	18.2%
(Missing)	62	6.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2.6	1	0.1%
-2	1	0.1%
-1.5	1	0.1%
-1.1	1	0.1%
-1	2	0.2%
-0.9	1	0.1%
-0.8	1	0.1%
-0.7	1	0.1%
-0.5	2	0.2%
-0.1	1	0.1%

Value	Count	Frequency (%)
6.2	1	0.1%
5.6	1	0.1%
5	1	0.1%
4.2	2	0.2%
4	7	0.8%
3.8	1	0.1%
3.7	1	0.1%
3.6	4	0.4%
3.5	2	0.2%
3.4	2	0.2%

slope
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.7%
Missing	308
Missing (%)	34.3%
Memory size	46.8 KiB

2.0	334
1.0	196
3.0	60
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1773
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	334	37.2%
1.0	196	21.8%
3.0	60	6.7%
0.0	1	0.1%
(Missing)	308	34.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	334	56.5%
1.0	196	33.2%
3.0	60	10.2%
0.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	592	33.4%
.	591	33.3%
2	334	18.8%
1	196	11.1%
3	60	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1182	66.7%
Other Punctuation	591	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	592	50.1%
2	334	28.3%
1	196	16.6%
3	60	5.1%

Other Punctuation

Value	Count	Frequency (%)
.	591	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1773	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	592	33.4%
.	591	33.3%
2	334	18.8%
1	196	11.1%
3	60	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1773	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	592	33.4%
.	591	33.3%
2	334	18.8%
1	196	11.1%
3	60	3.4%

rldv5
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	6.5%
Missing	425
Missing (%)	47.3%
Infinite	0
Infinite (%)	0.0%
Mean	14.39873418

Minimum	2
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	2
5-th percentile	6
Q1	10
median	14
Q3	18
95-th percentile	25
Maximum	36
Range	34
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.70294224
Coefficient of variation (CV)	0.396072472
Kurtosis	0.02389652918
Mean	14.39873418
Median Absolute Deviation (MAD)	4
Skewness	0.4842962135
Sum	6825
Variance	32.52355019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
10	42	4.7%
11	34	3.8%
12	34	3.8%
14	33	3.7%
13	33	3.7%
15	30	3.3%
17	27	3.0%
20	27	3.0%
18	22	2.4%
19	20	2.2%
Other values (21)	172	19.1%
(Missing)	425	47.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.1%
3	1	0.1%
4	9	1.0%
5	9	1.0%
6	12	1.3%
7	16	1.8%
8	19	2.1%
9	20	2.2%
10	42	4.7%
11	34	3.8%

Value	Count	Frequency (%)
36	1	0.1%
31	2	0.2%
30	1	0.1%
29	1	0.1%
28	3	0.3%
27	4	0.4%
26	4	0.4%
25	11	1.2%
24	10	1.1%
23	7	0.8%

rldv5e
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	141
Distinct (%)	18.6%
Missing	142
Missing (%)	15.8%
Infinite	0
Infinite (%)	0.0%
Mean	54.91413474

Minimum	2
Maximum	270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	2
5-th percentile	7
Q1	12
median	19
Q3	102
95-th percentile	176
Maximum	270
Range	268
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	60.309425
Coefficient of variation (CV)	1.098249572
Kurtosis	0.2720851797
Mean	54.91413474
Median Absolute Deviation (MAD)	10
Skewness	1.185535476
Sum	41570
Variance	3637.226744
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	42	4.7%
11	38	4.2%
15	33	3.7%
10	32	3.6%
13	30	3.3%
17	30	3.3%
9	27	3.0%
18	26	2.9%
12	26	2.9%
8	23	2.6%
Other values (131)	450	50.1%
(Missing)	142	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.1%
3	3	0.3%
4	7	0.8%
5	6	0.7%
6	18	2.0%
7	23	2.6%
8	23	2.6%
9	27	3.0%
10	32	3.6%
11	38	4.2%

Value	Count	Frequency (%)
270	1	0.1%
253	1	0.1%
252	1	0.1%
240	1	0.1%
231	1	0.1%
230	2	0.2%
227	1	0.1%
225	1	0.1%
222	1	0.1%
220	3	0.3%

ca
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.7%
Missing	608
Missing (%)	67.6%
Memory size	40.9 KiB

0.0	171
1.0	63
2.0	37
3.0	19
9.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	873
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	9.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	171	19.0%
1.0	63	7.0%
2.0	37	4.1%
3.0	19	2.1%
9.0	1	0.1%
(Missing)	608	67.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	171	58.8%
1.0	63	21.6%
2.0	37	12.7%
3.0	19	6.5%
9.0	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	462	52.9%
.	291	33.3%
1	63	7.2%
2	37	4.2%
3	19	2.2%
9	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	582	66.7%
Other Punctuation	291	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	462	79.4%
1	63	10.8%
2	37	6.4%
3	19	3.3%
9	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	291	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	873	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	462	52.9%
.	291	33.3%
1	63	7.2%
2	37	4.2%
3	19	2.2%
9	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	873	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	462	52.9%
.	291	33.3%
1	63	7.2%
2	37	4.2%
3	19	2.2%
9	1	0.1%

restef
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	85.7%
Missing	871
Missing (%)	96.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.5310714286

Minimum	0.22
Maximum	0.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.3105
Q1	0.4075
median	0.57
Q3	0.625
95-th percentile	0.746
Maximum	0.8
Range	0.58
Interquartile range (IQR)	0.2175

Descriptive statistics

Standard deviation	0.1461946771
Coefficient of variation (CV)	0.2752825123
Kurtosis	-0.6173807538
Mean	0.5310714286
Median Absolute Deviation (MAD)	0.11
Skewness	-0.2094493985
Sum	14.87
Variance	0.0213728836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0.59	2	0.2%
0.45	2	0.2%
0.64	2	0.2%
0.6	2	0.2%
0.5	1	0.1%
0.22	1	0.1%
0.41	1	0.1%
0.7	1	0.1%
0.58	1	0.1%
0.76	1	0.1%
Other values (14)	14	1.6%
(Missing)	871	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.22	1	0.1%
0.3	1	0.1%
0.33	1	0.1%
0.36	1	0.1%
0.38	1	0.1%
0.39	1	0.1%
0.4	1	0.1%
0.41	1	0.1%
0.45	2	0.2%
0.48	1	0.1%

Value	Count	Frequency (%)
0.8	1	0.1%
0.76	1	0.1%
0.72	1	0.1%
0.7	1	0.1%
0.67	1	0.1%
0.64	2	0.2%
0.62	1	0.1%
0.61	1	0.1%
0.6	2	0.2%
0.59	2	0.2%

restwm
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	13.3%
Missing	869
Missing (%)	96.7%
Memory size	35.8 KiB

0.0	13
2.0	8
1.0	6
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	90
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	13	1.4%
2.0	8	0.9%
1.0	6	0.7%
3.0	3	0.3%
(Missing)	869	96.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	13	43.3%
2.0	8	26.7%
1.0	6	20.0%
3.0	3	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	43	47.8%
.	30	33.3%
2	8	8.9%
1	6	6.7%
3	3	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	66.7%
Other Punctuation	30	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	43	71.7%
2	8	13.3%
1	6	10.0%
3	3	5.0%

Other Punctuation

Value	Count	Frequency (%)
.	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	90	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	43	47.8%
.	30	33.3%
2	8	8.9%
1	6	6.7%
3	3	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	43	47.8%
.	30	33.3%
2	8	8.9%
1	6	6.7%
3	3	3.3%

exeref
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	897
Missing (%)	99.8%
Memory size	35.3 KiB

0.6	1
0.5	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	0.6
2nd row	0.5

Common Values

Value	Count	Frequency (%)
0.6	1	0.1%
0.5	1	0.1%
(Missing)	897	99.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.6	1	50.0%
0.5	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	2	33.3%
.	2	33.3%
6	1	16.7%
5	1	16.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4	66.7%
Other Punctuation	2	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2	50.0%
6	1	25.0%
5	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2	33.3%
.	2	33.3%
6	1	16.7%
5	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2	33.3%
.	2	33.3%
6	1	16.7%
5	1	16.7%

exerwm
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	40.0%
Missing	894
Missing (%)	99.4%
Memory size	35.3 KiB

0.0	4
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	20.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4	0.4%
1.0	1	0.1%
(Missing)	894	99.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	4	80.0%
1.0	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	9	60.0%
.	5	33.3%
1	1	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	66.7%
Other Punctuation	5	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9	90.0%
1	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9	60.0%
.	5	33.3%
1	1	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9	60.0%
.	5	33.3%
1	1	6.7%

thal
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	1.7%
Missing	477
Missing (%)	53.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.018957346

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3
median	6
Q3	7
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.949388321
Coefficient of variation (CV)	0.3884050384
Kurtosis	-1.835218847
Mean	5.018957346
Median Absolute Deviation (MAD)	1
Skewness	-0.125321007
Sum	2118
Variance	3.800114825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	189	21.0%
7	182	20.2%
6	42	4.7%
1	4	0.4%
5	3	0.3%
4	1	0.1%
2	1	0.1%
(Missing)	477	53.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.4%
2	1	0.1%
3	189	21.0%
4	1	0.1%
5	3	0.3%
6	42	4.7%
7	182	20.2%

Value	Count	Frequency (%)
7	182	20.2%
6	42	4.7%
5	3	0.3%
4	1	0.1%
3	189	21.0%
2	1	0.1%
1	4	0.4%

num
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	51.0 KiB

0	404
1	191
3	132
2	130
4	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	899
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	3
5th row	0

Common Values

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	899	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	899	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	899	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	404	44.9%
1	191	21.2%
3	132	14.7%
2	130	14.5%
4	42	4.7%

cathef
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	28.3%
Missing	588
Missing (%)	65.4%
Infinite	0
Infinite (%)	0.0%
Mean	27.62311897

Minimum	0.22
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.475
Q1	0.685
median	0.82
Q3	63
95-th percentile	73
Maximum	86
Range	85.78
Interquartile range (IQR)	62.315

Descriptive statistics

Standard deviation	31.67529475
Coefficient of variation (CV)	1.146695085
Kurtosis	-1.742548977
Mean	27.62311897
Median Absolute Deviation (MAD)	0.32
Skewness	0.3887194199
Sum	8590.79
Variance	1003.324298
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67	10	1.1%
70	9	1.0%
0.8	9	1.0%
0.73	9	1.0%
0.74	8	0.9%
68	8	0.9%
0.71	8	0.9%
65	8	0.9%
0.7	7	0.8%
63	7	0.8%
Other values (78)	228	25.4%
(Missing)	588	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.22	2	0.2%
0.32	1	0.1%
0.4	5	0.6%
0.41	2	0.2%
0.42	1	0.1%
0.43	2	0.2%
0.44	1	0.1%
0.45	1	0.1%
0.47	1	0.1%
0.48	3	0.3%

Value	Count	Frequency (%)
86	1	0.1%
83	1	0.1%
80	1	0.1%
79	1	0.1%
77	2	0.2%
76	4	0.4%
75	4	0.4%
74	1	0.1%
73	3	0.3%
72	3	0.3%

dataset
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	59.1 KiB

hungarian	294
cleveland	282
long-beach-va	200
switzerland	123

Length

Max length	13
Median length	9
Mean length	10.16351502
Min length	9

Characters and Unicode

Total characters	9137
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	hungarian
2nd row	hungarian
3rd row	hungarian
4th row	hungarian
5th row	hungarian

Common Values

Value	Count	Frequency (%)
hungarian	294	32.7%
cleveland	282	31.4%
long-beach-va	200	22.2%
switzerland	123	13.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
hungarian	294	32.7%
cleveland	282	31.4%
long-beach-va	200	22.2%
switzerland	123	13.7%

Most occurring characters

Value	Count	Frequency (%)
a	1393	15.2%
n	1193	13.1%
e	887	9.7%
l	887	9.7%
h	494	5.4%
g	494	5.4%
c	482	5.3%
v	482	5.3%
r	417	4.6%
i	417	4.6%
Other values (9)	1991	21.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8737	95.6%
Dash Punctuation	400	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1393	15.9%
n	1193	13.7%
e	887	10.2%
l	887	10.2%
h	494	5.7%
g	494	5.7%
c	482	5.5%
v	482	5.5%
r	417	4.8%
i	417	4.8%
Other values (8)	1591	18.2%

Dash Punctuation

Value	Count	Frequency (%)
-	400	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8737	95.6%
Common	400	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1393	15.9%
n	1193	13.7%
e	887	10.2%
l	887	10.2%
h	494	5.7%
g	494	5.7%
c	482	5.5%
v	482	5.5%
r	417	4.8%
i	417	4.8%
Other values (8)	1591	18.2%

Common

Value	Count	Frequency (%)
-	400	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9137	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1393	15.2%
n	1193	13.1%
e	887	9.7%
l	887	9.7%
h	494	5.4%
g	494	5.4%
c	482	5.3%
v	482	5.3%
r	417	4.6%
i	417	4.6%
Other values (9)	1991	21.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	age	sex	painloc	painexer	relrest	cp	trestbps	htn	chol	smoke	cigs	years	dm	famhist	restecg	nitr	pro	proto	thaldur	thaltime	met	thalach	thalrest	tpeakbps	tpeakbpd	trestbpd	exang	xhypo	oldpeak	slope	rldv5	rldv5e	ca	restef	restwm	exeref	exerwm	thal	num	cathef	dataset
0	40	1	1.0	0.0	0.0	2	140.0	0.0	289.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	150.0	18.0	NaN	7.0	172.0	86.0	200.0	110.0	86.0	0.0	0.0	0.0	NaN	26.0	20.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
1	49	0	1.0	0.0	0.0	3	160.0	1.0	180.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	NaN	10.0	9.0	7.0	156.0	100.0	220.0	106.0	90.0	0.0	0.0	1.0	2.0	14.0	13.0	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	hungarian
2	37	1	1.0	0.0	0.0	2	130.0	0.0	283.0	NaN	NaN	NaN	NaN	NaN	1.0	0.0	0.0	100.0	10.0	NaN	5.0	98.0	58.0	180.0	100.0	80.0	0.0	0.0	0.0	NaN	17.0	14.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
3	48	0	1.0	1.0	1.0	4	138.0	0.0	214.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	50.0	5.0	4.0	4.0	108.0	54.0	210.0	106.0	86.0	1.0	0.0	1.5	2.0	19.0	22.0	NaN	NaN	NaN	NaN	NaN	NaN	3	NaN	hungarian
4	54	1	1.0	0.0	1.0	3	150.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	1.0	1.0	25.0	2.0	NaN	3.0	122.0	74.0	130.0	100.0	90.0	0.0	1.0	0.0	NaN	13.0	9.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
5	39	1	1.0	0.0	1.0	3	120.0	0.0	339.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	175.0	19.0	NaN	8.0	170.0	86.0	198.0	100.0	80.0	0.0	0.0	0.0	NaN	20.0	21.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
6	45	0	0.0	1.0	0.0	2	130.0	0.0	237.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	100.0	10.0	NaN	10.0	170.0	90.0	200.0	106.0	84.0	0.0	0.0	0.0	NaN	11.0	11.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
7	54	1	1.0	0.0	0.0	2	110.0	0.0	208.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	175.0	19.0	NaN	7.0	142.0	56.0	220.0	70.0	70.0	0.0	0.0	0.0	NaN	11.0	11.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian
8	37	1	1.0	1.0	1.0	4	140.0	1.0	207.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	125.0	15.0	13.5	7.0	130.0	63.0	190.0	100.0	80.0	1.0	0.0	1.5	2.0	18.0	19.0	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	hungarian
9	48	0	1.0	0.0	0.0	2	120.0	0.0	284.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	75.0	7.0	NaN	4.0	120.0	72.0	140.0	80.0	80.0	0.0	0.0	0.0	NaN	6.0	6.0	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	hungarian

Last rows

	age	sex	painloc	painexer	relrest	cp	trestbps	htn	chol	smoke	cigs	years	fbs	dm	famhist	restecg	dig	prop	nitr	pro	diuretic	proto	thaldur	thaltime	met	thalach	thalrest	tpeakbps	tpeakbpd	trestbpd	exang	xhypo	oldpeak	slope	rldv5	rldv5e	ca	restef	restwm	exeref	exerwm	thal	num	cathef	dataset
889	51	0	1.0	1.0	1.0	4	114.0	1.0	258.0	0.0	0.0	0.0	1.0	1.0	1.0	2.0	0.0	1.0	0.0	0.0	0.0	1.0	4.0	NaN	5.0	96.0	52.0	140.0	96.0	74.0	0.0	0.0	1.0	1.0	19.0	20.0	NaN	NaN	NaN	NaN	NaN	NaN	0	0.74	long-beach-va
890	62	1	1.0	1.0	1.0	4	160.0	1.0	254.0	1.0	40.0	47.0	1.0	NaN	1.0	1.0	1.0	0.0	1.0	1.0	1.0	5.0	3.5	NaN	2.5	108.0	69.0	160.0	90.0	80.0	1.0	0.0	3.0	2.0	20.0	19.0	NaN	NaN	NaN	NaN	NaN	NaN	4	0.54	long-beach-va
891	53	1	1.0	1.0	1.0	4	144.0	1.0	300.0	0.0	20.0	10.0	1.0	NaN	1.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	4.0	3.0	5.0	128.0	76.0	150.0	102.0	94.0	1.0	0.0	1.5	2.0	12.0	13.0	NaN	NaN	NaN	NaN	NaN	NaN	3	0.76	long-beach-va
892	62	1	1.0	1.0	1.0	4	158.0	1.0	170.0	1.0	20.0	20.0	0.0	NaN	1.0	1.0	0.0	22.0	1.0	0.0	1.0	5.0	8.0	NaN	8.0	138.0	86.0	202.0	98.0	90.0	1.0	0.0	0.0	NaN	20.0	22.0	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	long-beach-va
893	46	1	1.0	1.0	1.0	4	134.0	1.0	310.0	1.0	20.0	21.0	0.0	NaN	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	5.5	NaN	7.0	126.0	88.0	174.0	114.0	90.0	0.0	0.0	0.0	NaN	9.0	7.0	NaN	NaN	NaN	NaN	NaN	3.0	2	0.87	long-beach-va
894	54	0	1.0	1.0	1.0	4	127.0	0.0	333.0	0.0	0.0	0.0	1.0	NaN	1.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0	7.5	NaN	8.0	154.0	83.0	158.0	84.0	78.0	0.0	0.0	0.0	NaN	20.0	20.0	NaN	NaN	NaN	NaN	NaN	NaN	1	0.76	long-beach-va
895	62	1	0.0	0.0	0.0	1	NaN	0.0	139.0	1.0	15.0	30.0	0.0	NaN	0.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.41	1.0	NaN	NaN	NaN	0	0.62	long-beach-va
896	55	1	1.0	1.0	1.0	4	122.0	1.0	223.0	1.0	20.0	40.0	1.0	NaN	0.0	1.0	0.0	1.0	1.0	0.0	1.0	5.0	5.3	NaN	5.0	100.0	74.0	210.0	100.0	70.0	0.0	0.0	0.0	NaN	6.0	4.0	NaN	0.39	3.0	NaN	NaN	6.0	2	0.69	long-beach-va
897	58	1	1.0	1.0	1.0	4	NaN	0.0	385.0	0.0	10.0	20.0	1.0	1.0	1.0	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0.81	long-beach-va
898	62	1	1.0	0.0	0.0	2	120.0	1.0	254.0	0.0	0.0	0.0	0.0	NaN	0.0	2.0	0.0	1.0	0.0	0.0	0.0	1.0	6.7	NaN	7.0	93.0	67.0	164.0	110.0	80.0	1.0	0.0	0.0	NaN	21.0	17.0	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	long-beach-va

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script